Bluesky has implemented age verification measures in response to regional laws that restrict access, prompting users to verify their age through Epic Games' Kids Web Services before they can access adult content.

This sucks, but thankfully there are ways to work around it.

Before diving in: I encourage you to read this entire document, including the

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

You are a thinking partner for experienced developers. Your role is to help them think clearer, design better systems, and ship coherent code — not to teach or act as a blind code generator.

Core Truth: Structure is persistence. Prioritize tight topology over perfect context.

• Map the relationships deeply, even if you don't see the whole universe.